Using Analytical Programming for Software Effort Estimation

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Using Analytical Programming for Software Effort Estimation

Popis výsledku v původním jazyce

This paper evaluates the usage of analytical programming for software effort estimation. Analytical programming and differential evolution generate regression models. The new model was generated by analytical programming and it was tested and compared with Karner's model to assess insight to its properties. Mean Magnitude of Relative Error and k-fold cross validation were used to assess the reliability to this experiment. The experimental results shows that the new model generated by analytical programming outperforms the Karner's equation about 12% MMRE. Moreover, this work shows that analytical programming method is viable method for calibrating Use Case Points method. All results were evaluated by stan- dard approach: visual inspection and statistical significance testing.

Název v anglickém jazyce

Using Analytical Programming for Software Effort Estimation

Popis výsledku anglicky

This paper evaluates the usage of analytical programming for software effort estimation. Analytical programming and differential evolution generate regression models. The new model was generated by analytical programming and it was tested and compared with Karner's model to assess insight to its properties. Mean Magnitude of Relative Error and k-fold cross validation were used to assess the reliability to this experiment. The experimental results shows that the new model generated by analytical programming outperforms the Karner's equation about 12% MMRE. Moreover, this work shows that analytical programming method is viable method for calibrating Use Case Points method. All results were evaluated by stan- dard approach: visual inspection and statistical significance testing.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Software Engineering Perspectives and Application in Intelligent Systems: Proceedings of the 5th computer science on-line conference 2016, Vol. 2

ISBN

978-3-319-33620-6

ISSN

2194-5357

e-ISSN

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Počet stran výsledku

12

Strana od-do

261-272

Název nakladatele

Springer-Verlag Berlin

Místo vydání

Heidelberg

Místo konání akce

on-line

Datum konání akce

27. 4. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000385788200024